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Yuna’s Status Report for 02/15/2025

I looked up specific components to be ordered and made sure they met our project’s requirements. I specifically finalized actuator components like mini heater, humidifier, and LED lights.

For design presentation, I worked on listing solution approaches for hardware and software and testing and verification metrics.

I finished the initial setup with Django and React frameworks and made sure they work together correctly. Our original plan on the schedule was to first finish the backend portion and work on frontend later. However, while I was setting up the code I realized working on them together would be more efficient. I wrote basic code that can store plant database in Django. Currently, the database is based on sqlLite, but I’ll later use AWS DynamoDB to store data.

I did research about how I can use AWS Educate as a student. I applied to AWS Educate and got registered to the program. According to the website description, a student will get a credit of $35 in AWS Educate, which I believe will be enough for our project.

I am currently on schedule.

Next week, I will start implementing API calls for plant database and confirm API is being called correctly. I will also start working on basic UI of the app  (frontend).

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Yuna’s Status Report for 02/08/2025

This week, I worked with my teammates to work on proposal presentation. I specifically was in charge of Technical Challenges and Testing Metrics section.

For technical challenges, I researched and thought about possible challenges that we will face throughout the project. Based on our project requirements, I searched up different possible technical issues.  I took a look at the previous semester’s team who worked on a similar project to ours, and identified what similar challenges we might face and how we can be ready with backup plans. For Testing Metrics, I discussed with my team and looked up what metrics can be used to measure the success of the product. I referred to other past capstone projects and determined what numbers are appropriate for testing. It also helped me determine how specific I should be about testing. For example, measuring “accuracy” was vague – instead, I decided to use false positive and false negative rates.

I conducted research on how I can specifically use tech stacks we planned to use for web application. We are set on using Django for backend, since Django works well with ML/OpenCV, can integrate with MQTT, and I have experience in using it.

Our project is currently on schedule.

Next week’s goals are to order all the components needed, work on design presentation slides, and begin setting up the Django framework.